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» Distributed genetic evolution in WSN
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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
14 years 1 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
14 years 1 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
CLOUDCOM
2010
Springer
13 years 5 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
IPPS
1999
IEEE
13 years 12 months ago
Leonardo and Discipulus Simplex: An Autonomous, Evolvable Six-Legged Walking Robot
Evolutionary systems based on genetic algorithms GAs are common nowadays. One of the recent uses of such systems is in the burgeoning eld of evolvable hardware which involves, amo...
Gilles Ritter, Jean-Michel Puiatti, Eduardo Sanche...
EUROGP
2008
Springer
13 years 9 months ago
Evolving Proactive Aggregation Protocols
We present an approach for the automated synthesis of proactive aggregation protocols using Genetic Programming and discuss major decisions in modeling and simulating distributed a...
Thomas Weise, Michael Zapf, Kurt Geihs